DCU MSc Computing (Major: Data Analytics): Fees, Requirements & Review (2027)
Updated on Written by Amit SouravReviewed by Ashmita Agarwal
Applications for January 2027 are open. Popular courses can close once full, so apply early. Your AdmitVerse counsellor will confirm the current timeline for your course.
Is the DCU MSc Computing (Major: Data Analytics) worth it for Indian students?
DCU MSc Computing (Major: Data Analytics) at a glance
| Fact | Detail |
|---|---|
| Official name (partner data) | MSc Computing (Major: Data Analytics) |
| Award | Master of Science (MSc) |
| NFQ level | Level 9 |
| Duration | 12 months |
| Intakes | September |
| List fee | €25,000≈ ₹27.5 lakh |
| Deposit | €500 |
| Application fee | Waived |
| Possible net fee, if eligible | €20,000 (≈ ₹22.0 lakh) with the DCU Faculty of Engineering & Computing International Scholarship |
| Stamp 1G stay-back | Up to 24 months (Level 9) |
| Campus / city | Dublin |
| January 2027 status | Closed for January |
₹ figures use €1 = ₹110 (September 2026 mid-market rate). Your bank’s rate on the day you pay will differ. Fees are as quoted for the January 2027 intake. Confirm on the official course page before paying.
Fees, intakes and deposit are from AdmitVerse partner data for the January 2027 intake. Modules, entry requirements and English scores are not listed here because we could not confirm them. Check the official course page.
Is this course for you?
DCU MSc Computing (Major: Data Analytics)
12 months · September intakes
Computing graduates who want a technical data analytics master’s at a public Dublin university, with the verified engineering and computing scholarship.
Total first-year cost
Tuition plus 12 months of living costs in Dublin and the IRP card. Living costs are an AdmitVerse estimate, Sept 2026.
€25,000
Tuition, whole programme
≈ ₹27.5 lakh
€13,800–€22,200
Living costs, 12 months in Dublin
AdmitVerse estimate, Sept 2026
€300
IRP registration
Paid when you register after arrival
€39,100–€47,500
First-year total
≈ ₹43.0 lakh to ₹52.3 lakh
| Item | Euro | Rupees (≈) |
|---|---|---|
| Tuition (whole programme) | €25,000 | ₹27.5 lakh |
| Living costs, 12 months in Dublin | €13,800–€22,200 | ₹15.2 lakh – ₹24.4 lakh |
| IRP registration | €300 | ₹33,000 |
| Total (excl. flights, insurance and visa fee) | €39,100–€47,500 | ₹43.0 lakh – ₹52.3 lakh |
₹ figures use €1 = ₹110 (September 2026 mid-market rate). Your bank’s rate on the day you pay will differ. Fees are as quoted for the January 2027 intake. Confirm on the official course page before paying.
Similar programs at other colleges
NCIMSc Artificial Intelligence
National College of Ireland
€8,000 cheaper than this course
Course detailsGriffithMSc Big Data Management & Analytics
Griffith College Dublin
€9,000 cheaper than this course
Course detailsDBSMSc Data Analytics
Dublin Business School
€9,425 cheaper than this course
Course detailsNearest list fees at other institutions, open for January 2027. Levels: NCI Level 9 · up to 24 months; Griffith Level 9 · up to 24 months; DBS Level 9 · up to 24 months.
Our honest take
What we tell students about this course
- Its level is not yet confirmed, so we do not rank it against other master’s. Confirm the NFQ level and ILEP listing first.
- The DCU Faculty of Engineering & Computing International Scholarship could bring the fee to €20,000 if you are eligible. Plan on the full fee until it is confirmed in writing.
- The €500 deposit is not the visa payment: you will need €5,500 more before you file.
Work rights
20 hrs a week in term, 40 in the holidays, on Stamp 2
Up to 24 months (Level 9)
DCU MSc Computing (Major: Data Analytics): FAQs
Fees, intake and stay-back for this course.
Still have questions?
Our counsellors are just a call away — get clear, honest answers.
The list fee is €25,000 (about ₹27.5 lakh) for the whole programme, as quoted for the January 2027 intake. The DCU Faculty of Engineering & Computing International Scholarship could bring it to €20,000 if you are eligible. Deposit: €500; application fee: waived. Confirm on the official page before paying.
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